Dinggang Shen

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction MICCAI 2025 Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training MICCAI 2025 A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency MICCAI 2025 A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms MICCAI 2025 Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks MICCAI 2025 BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration MICCAI 2025 Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis MICCAI 2025 Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation MICCAI 2025 HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction MICCAI 2025 Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction MICCAI 2025 Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images MICCAI 2025 MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction MICCAI 2025 MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts MICCAI 2025 Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders MICCAI 2025 Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data MICCAI 2025 Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation MICCAI 2025 Task-aligned fMRI Generation Model for Brain Disorder Diagnosis MICCAI 2025 Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI MICCAI 2025 Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET MICCAI 2025 Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging MICCAI 2025 A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis MICCAI 2024 A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI IJCAI 2024 Cephalometric Landmark Detection across Ages with Prototypical Network MICCAI 2024 Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction MICCAI 2024 Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets MICCAI 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction MICCAI 2024 Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network MICCAI 2024 Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation MICCAI 2024 k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging MICCAI 2024 LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net MICCAI 2024 LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion MICCAI 2024 Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis AAAI 2024 NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images AAAI 2024 Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images MICCAI 2024 TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs MICCAI 2024 UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation MICCAI 2024 Forecasting Human Trajectory from Scene History NeurIPS 2022 TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation CVPR 2021 Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis AAAI 2020 Non-Local U-Nets for Biomedical Image Segmentation AAAI 2020 Decoding EEG by Visual-guided Deep Neural Networks IJCAI 2019 Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation AAAI 2019 Contour Knowledge Transfer for Salient Object Detection ECCV 2018 Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017 Regularized Modal Regression with Applications in Cognitive Impairment Prediction NeurIPS 2017 Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NeurIPS 2015 Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis CVPR 2014 Learning-Based Atlas Selection for Multiple-Atlas Segmentation CVPR 2014 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 Groupwise Registration via Graph Shrinkage on the Image Manifold CVPR 2013 Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso CVPR 2013